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SQL

7 Units30 Lessons
Unit 1

Basics

Introduction to SQL Syntax and Data Types
Executing Simple SELECT Queries
Inserting, Updating, and Deleting Data Basics
Real-World Project: Building a Simple Inventory Database
Unit 2

Advanced Query Techniques

Using Aggregations and Grouping Functions
Advanced String and Date Manipulation Functions
Working with Common Table Expressions (CTEs)
Implementing Window Functions for Data Analysis
Real-World Project: Analyzing Sales Data with Advanced Queries
Unit 3

Joins and Subqueries

Understanding Inner and Outer Joins
Using Subqueries in SELECT Statements
Nesting Subqueries in WHERE and FROM Clauses
Exploring Self-Joins and Cross Joins
Real-World Project: Merging Data from Multiple Tables
Unit 4

Database Design and Normalization

Fundamentals of Database Design Principles
Applying First, Second, and Third Normal Forms
Real-World Project: Designing and Normalizing a Relational Database
Advanced Normalization Techniques like BCNF
Unit 5

Transactions and Concurrency Control

Basics of SQL Transactions and ACID Properties
Implementing Commit, Rollback, and Savepoints
Concurrency Control with Locking Mechanisms
Real-World Project: Managing Transactions in a Banking System
Unit 6

Indexing and Performance Optimization

Introduction to SQL Indexing and Its Types
Real-World Project: Optimizing a Large-Scale Database
Query Optimization Techniques and Execution Plans
Creating and Managing Indexes for Query Speed
Unit 7

Advanced Topics in SQL Integration

Integrating SQL with External Data Sources
Real-World Project: Building an Integrated SQL Application
Using Triggers and Stored Procedures for Automation
Views and Materialized Views in Complex Systems
Unit 7•Chapter 4

Views and Materialized Views in Complex Systems

Summary

Views in SQL let you store complex queries under a name, acting as virtual tables for simplified data handling. For example, with employees, departments, and a junction table, you can join them to combine details like employee names and department names. This avoids repetitive joins for tasks such as grouping by department or gender. Create a view using the CREATE VIEW statement with a chosen name, allowing it to be used like a regular table.

Concept Check

0/5

What distinguishes a materialized view from a regular view in complex SQL systems?

In complex systems, why might a materialized view be preferred over a view?

How do views and materialized views handle data updates in large databases?

What is a potential drawback of using materialized views in complex systems?

In the context of joined tables, what benefit does a materialized view offer?

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